| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 467 | 2023 |
| Slic-hf: Sequence likelihood calibration with human feedback Y Zhao, R Joshi, T Liu, M Khalman, M Saleh, PJ Liu arXiv preprint arXiv:2305.10425, 2023 | 70 | 2023 |
| Calibrating sequence likelihood improves conditional language generation Y Zhao, M Khalman, R Joshi, S Narayan, M Saleh, PJ Liu The Eleventh International Conference on Learning Representations, 2022 | 59 | 2022 |
| Statistical rejection sampling improves preference optimization T Liu, Y Zhao, R Joshi, M Khalman, M Saleh, PJ Liu, J Liu arXiv preprint arXiv:2309.06657, 2023 | 41 | 2023 |
| ForumSum: A multi-speaker conversation summarization dataset M Khalman, Y Zhao, M Saleh Findings of the Association for Computational Linguistics: EMNLP 2021, 4592-4599, 2021 | 19 | 2021 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ... arXiv preprint arXiv:2403.05530, 2024 | 8 | 2024 |
| LiPO: Listwise Preference Optimization through Learning-to-Rank T Liu, Z Qin, J Wu, J Shen, M Khalman, R Joshi, Y Zhao, M Saleh, ... arXiv preprint arXiv:2402.01878, 2024 | 5 | 2024 |
| Direct language model alignment from online ai feedback S Guo, B Zhang, T Liu, T Liu, M Khalman, F Llinares, A Rame, T Mesnard, ... arXiv preprint arXiv:2402.04792, 2024 | 4 | 2024 |
| Calibrating Likelihoods towards Consistency in Summarization Models P Zablotskaia, M Khalman, R Joshi, LB Soares, S Jakobovits, J Maynez, ... arXiv preprint arXiv:2310.08764, 2023 | 1 | 2023 |
Yao ZhaoGoogle BrainVerified email at google.com
